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Copy file name to clipboardExpand all lines: post_installation_configuration/configuring-multi-arch-compute-machines/multi-architecture-configuration.adoc
= About clusters with multi-architecture compute machines
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include::_attributes/common-attributes.adoc[]
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toc::[]
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[role="_abstract"]
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An {product-title} cluster with multi-architecture compute machines is a cluster that supports compute machines with different architectures.
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[NOTE]
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====
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When there are nodes with multiple architectures in your cluster, the architecture of your image must be consistent with the architecture of the node. You need to ensure that the pod is assigned to the node with the appropriate architecture and that it matches the image architecture. For more information on assigning pods to nodes, see link:https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/[Assigning pods to nodes].
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====
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Configuring multi-architecture compute machines involves some additional considerations:
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* When there are nodes with multiple architectures in your cluster, the architecture of the container image that you deploy to a node must be consistent with the architecture of that node. You need to ensure that the pod is assigned to the node with the appropriate architecture and that it matches the container image architecture. For more information on assigning pods to nodes, see link:https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/[Assigning pods to nodes].
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* In installer-provisioned installations, you are restricted to using the infrastructure provided by a single cloud provider. Adding external nodes, regardless of their architecture, to these clusters is not supported.
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* Clusters that are installed with the platform type `none` are unable to use some features, such as managing compute machines with the Machine API. This limitation applies even if the compute machines that are attached to the cluster are installed on a platform that would normally support the feature. This parameter cannot be changed after installation.
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[IMPORTANT]
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====
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The Cluster Samples Operator is not supported on clusters with multi-architecture compute machines. Your cluster can be created without this capability. For more information, see xref:../../installing/overview/cluster-capabilities.adoc#cluster-capabilities[Cluster capabilities].
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Review the information in the link:https://access.redhat.com/articles/4207611[guidelines for deploying {product-title} on non-tested platforms] before you attempt to install an {product-title} cluster in virtualized or cloud environments.
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====
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For information on migrating your single-architecture cluster to a cluster that supports multi-architecture compute machines, see xref:../../updating/updating_a_cluster/migrating-to-multi-payload.adoc#migrating-to-multi-payload[Migrating to a cluster with multi-architecture compute machines].
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* The Cluster Samples Operator is not supported on clusters with multi-architecture compute machines. Your cluster can be created without this capability. For more information, see xref:../../installing/overview/cluster-capabilities.adoc#cluster-capabilities[Cluster capabilities].
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* For information on migrating your single-architecture cluster to a cluster that supports multi-architecture compute machines, see xref:../../updating/updating_a_cluster/migrating-to-multi-payload.adoc#migrating-to-multi-payload[Migrating to a cluster with multi-architecture compute machines].
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== Configuring your cluster with multi-architecture compute machines
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@@ -31,14 +38,14 @@ To create a cluster with multi-architecture compute machines with different inst
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|xref:../../post_installation_configuration/configuring-multi-arch-compute-machines/creating-multi-arch-compute-nodes-azure.adoc#creating-multi-arch-compute-nodes-azure[Creating a cluster with multi-architecture compute machines on Azure]
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|Microsoft Azure
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|✓
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|✓
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|`aarch64` or `x86_64`
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|`aarch64`, `x86_64`
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|xref:../../post_installation_configuration/configuring-multi-arch-compute-machines/creating-multi-arch-compute-nodes-aws.adoc#creating-multi-arch-compute-nodes-aws[Creating a cluster with multi-architecture compute machines on AWS]
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